This paper presents an analysis of the distribution of spoken language in the V3C video retrieval benchmark dataset based on automatically generated transcripts. It finds that a large portion of the dataset is covered by spoken language. Since language transcripts can be quickly and accurately described, this has implications for retrieval tasks such as known-item search.
@article{arxiv.2212.07835,
title = {You were saying? -- Spoken Language in the V3C Dataset},
author = {Luca Rossetto},
journal= {arXiv preprint arXiv:2212.07835},
year = {2022}
}